Compare Statseeker vs. Trisul Network Analytics

Statseeker is a powerful network performance monitor solution. It's fast, scalable, and cost-effective. Statseeker requires only one server or virtual machine to be up and running in minutes. It can also discover your entire network in under an hour without any significant impact on your bandwidth availability. It can monitor networks of all sizes, polling upto one million interfaces every sixty second, and collecting network data like SNMP, ping, NetFlow (sFlow, and J-Flow), sylog and trap messages, SDN configuration, and health metrics. Statseeker performance data are never averaged or rolled up. This eliminates the guesswork when it comes to identifying over- and underestimated infrastructure, root cause analysis, capacity planning, and other tasks. Statseeker's complete data retention means the in-built analytic engine can accurately detect anomalies in performance and forecast network behaviour months in advance. This allows network admins to plan and perform cost-effective, preventative maintenance, instead of fire-fighting problems as they occur. Statseeker's dashboards and out-of-the box reports allow you to troubleshoot and fix problems in your network before users are aware.

Today's bandwidth-unconstrained, encrypted, cloud centric networks make it impossible to separate traffic analytics and security and investigation activities. Trisul can help organizations of all sizes implement full-spectrum deep networking monitoring that can serve as a single source of truth for performance monitoring and network design, security analytics, threat detection and compliance. Traditional approaches based upon SNMP, Netflow Agents, Agents, and Packet Capture tend to have a narrow focus, rigid vendor-supplied analysis, and a narrow focus. Trisul is the only platform that allows you to innovate on a rich, open platform. It includes a tightly integrated backend database store and a web interface. It is flexible enough to connect to a different backend, or to drive Grafana and Kibana UIs. Our goal is to pack as many performance options as possible into a single node. To scale larger networks, add more probes or hubs.